- Markov Model
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Bayesian Statistics: Mixture Models
Completed by Rick Sprague
July 1, 2021
21 hours (approximately)
Rick Sprague's account is verified. Coursera certifies their successful completion of Bayesian Statistics: Mixture Models
What you will learn
Explain the basic principles behind the algorithm for fitting a mixture model.
Compute the expectation and variance of a mixture distribution.
Use mixture models to solve classification and clustering problems, and to provide density estimates.
Skills you will gain
